20220806
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512song@sina.com committed
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@@ -889,6 +889,14 @@
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"## 获取人员测试成绩"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8814b784-f561-455b-9125-b20672df2379",
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"metadata": {},
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"source": [
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"### 读取数据库获取人员测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@@ -945,6 +953,89 @@
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"print('ok')\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9d517d8f-44ed-4672-8e31-e1673ffc9d1b",
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"metadata": {},
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"source": [
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"### 读取csv文件获取人员测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "93d73139-1734-49e5-a59a-15898af9b1d8",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-08-05T07:46:15.088786Z",
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"iopub.status.busy": "2022-08-05T07:46:15.088219Z",
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"iopub.status.idle": "2022-08-05T07:46:15.146141Z",
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"shell.execute_reply": "2022-08-05T07:46:15.145040Z",
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"shell.execute_reply.started": "2022-08-05T07:46:15.088739Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import pymysql\n",
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"import json\n",
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"import time\n",
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"import csv\n",
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"\n",
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"filename = 'item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"user_id = 5\n",
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"place_id =130\n",
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"#user = '包永'\n",
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"\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息：\")\n",
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"filename = 'data/130.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[4])\n",
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" m_item = str(result[0]) \n",
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" re_ta.setdefault(user,{}) \n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{})\n",
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" \n",
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" #dict1.setdefault(item[m_item]['name'],{})\n",
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" score = int(result[1])/item[m_item]['divisor']\n",
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" #dict1[item[m_item]['name']]['成绩'] =f'{score} {item[m_item][\"unit\"]}'\n",
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" #dict1[item[m_item]['name']]['得分'] =result[2]\n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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" re_ta[user][item_name]['得分'] =result[2]\n",
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" \n",
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" #re_ta[user] = dict1\n",
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" #print(re_ta)\n",
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"filename = 'data/result_130.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl) \n",
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"print('ok')\n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "95df2637-7898-4446-bb8a-70d881bd9e44",
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@@ -1007,17 +1098,36 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 7,
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"id": "a7cf5e57-a381-4911-96ff-1e1469b6f9bc",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-08-05T07:49:14.416959Z",
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"iopub.status.busy": "2022-08-05T07:49:14.416421Z",
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"iopub.status.idle": "2022-08-05T07:49:14.474792Z",
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"shell.execute_reply": "2022-08-05T07:49:14.473376Z",
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"shell.execute_reply.started": "2022-08-05T07:49:14.416912Z"
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},
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"tags": []
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},
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"outputs": [],
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"outputs": [
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{
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"ename": "KeyError",
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"evalue": "'bm'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-7-207983d31c51>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[0;31m#print(k,v)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 44\u001b[0m \u001b[0msheet\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34mf'A{n}'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 45\u001b[0;31m \u001b[0msheet\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34mf'B{n}'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mv\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'bm'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 46\u001b[0m \u001b[0msheet\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34mf'C{n}'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mv\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 47\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'身高'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mKeyError\u001b[0m: 'bm'"
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]
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}
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],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"filename = 'data/result_cl.json'\n",
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"filename = 'data/result_130.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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@@ -1025,8 +1135,8 @@
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" for k in item.keys():\n",
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" list1.append(k)\n",
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"list2 = set(list1)\n",
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"list2.remove('name')\n",
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"list2.remove('bm')\n",
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"#list2.remove('name')\n",
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"#list2.remove('bm')\n",
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"list2.remove('身高')\n",
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"list2.remove('体重')\n",
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"#print(list2)\n",
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@@ -1041,7 +1151,7 @@
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" col1[item] = s[n+1]\n",
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" n += 2\n",
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"#print(col)\n",
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"filename = 'data/长岭体检人员得分情况表.xlsx'\n",
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"filename = 'data/130人员得分情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet['A1'] = '测试编号'\n",
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